Mistral AI
Full TimeYou'll design and deliver full-stack AI systems from scoping through deployment, working on both customer and internal projects across finance, manufacturing, defense, healthcare, and public sector. The role requires at least two years building production AI systems, strong Python skills with FastAPI, and expertise in RAG, agents, and orchestration frameworks. You'll translate business requirements into scalable solutions, guide technical decisions, and collaborate with internal teams and customers to pressure-test what's possible. The position is distributed across Europe, North America, Asia, and the Middle East.
Written from this posting by Neural Jobs AI. The full description is below.
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
As an Applied AI Engineer on the Proto team, you will lead the design and delivery of robust, production-grade AI systems in rapid development cycles. The Proto team sits at the intersection of product and customer, turning advanced technology into meaningful, real-world solutions. You will be deeply involved in both client-facing and internal projects, ensuring Mistral’s capabilities directly address business needs and drive measurable value.
You will translate complex, often ambiguous business requirements into engineered solutions that work at scale. In this role, you guide technical decisions, collaborate closely with internal teams and customers, and help shape product direction by pressure-testing what’s possible. Your work will unlock new business opportunities and help drive continuous product improvement.
Deliver end-to-end full-stack AI solutions from project scoping through deployment
Partner with customers to clarify needs, define requirements, and architect robust systems
Ship ready-to-use applications for both clients and Mistral’s internal teams
Lead architecture and technical choices, ensuring solutions are scalable and reliable
Diagnose and solve complex technical problems across various industries and use cases
Contribute to internal tools, product improvements, and open-source initiatives
Evaluate and integrate new technology capabilities into existing systems
At least 2 years building and deploying production AI products or systems
Strong experience with vibe coding tool, with high regards for clean code & high architecture standards
Experience working with modern GenAI stacks with expertise in RAG, Agent, Evaluation & Orchestration.
Strong Python skills, with experience in scalable backend frameworks like FastAPI
Familiarity with frontend development, ideally using frameworks such as React or Vue
Ability to quickly understand business needs and translate them into technical plans
Skilled at explaining complex technical ideas to diverse stakeholders
Track record of collaborating effectively across different teams
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page.
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Mistral AI develops open-weight and commercial large language models, along with Le Chat and a developer platform for building on them.
Founded in Paris in 2023 by researchers from DeepMind and Meta, it is Europe's most prominent frontier-model lab.
France
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